Results 201 to 210 of about 1,304,220 (323)

Multi-objective optimization for dynamic logistics scheduling based on hierarchical deep reinforcement learning. [PDF]

Sci Rep
Su J, Dong S.
europepmc   +1 more source

BEHAVIORAL CONTRAST IN A MULTIPLE AND CONCURRENT SCHEDULE OF REINFORCEMENT¹ [PDF]

, 1961
A. Charles Catania
openalex   +1 more source

Tumor and germline testing with next generation sequencing in epithelial ovarian cancer: a prospective paired comparison using an 18‐gene panel

Molecular Oncology, EarlyView.
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard, Cristina Mitric, Melanie Care, Tracy L. Stockley, Raymond H. Kim, Jeanna McCuaig, Blaise Clarke, Laura Ranich, Clare Sheen, Sarah E. Ferguson, Liat Hogen, Taymaa May, Marcus Q. Bernardini   +12 more
wiley   +1 more source

Anesthesia Practice Shift Scheduling With a Generative Deep Learning Model. [PDF]

Cureus
Emeneker W, Heape S, Hartman G, Gillespie M, Perkins S.   +4 more
europepmc   +1 more source

REINFORCEMENT OMISSION ON FIXED‐INTERVAL SCHEDULES¹ [PDF]

, 1969
J. E. R. Staddon, Nancy K. Innis
openalex   +1 more source

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source

Model-based partition scheduling of integrated modular avionics systems using genetic algorithm. [PDF]

Sci Rep
Chen J, Zhai Z, Han P, Huang M.
europepmc   +1 more source

THE INTERACTING EFFECTS OF DEPRIVATION AND REINFORCEMENT SCHEDULE [PDF]

, 1961
Peter L. Carlton
openalex   +1 more source

Survivin and Aurora Kinase A control cell fate decisions during mitosis

Molecular Oncology, EarlyView.
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir, Shalitha Wickrama Arachchige, Sally P. Wheatley   +2 more
wiley   +1 more source

Optimizing neurosurgical operating room schedule: Integrating machine learning models for operative time prediction and schedule design. [PDF]

Surg Neurol Int
Nathani KR, Machlab LA, von Kentzinsky HL, Feng E, Jayasuriya NM, Nathani AM, Ibrahim S, Bhandarkar A, Timm PC, Ali R, Tawk RG, Freedman B, Bydon M.   +12 more
europepmc   +1 more source